DocsIntroduction

Introduction

Welcome to the world of Cosmograph! This documentation will guide you through getting started with our tools for building high-performance graph visualizations.

Cosmograph shines when you need to see structure at scale: from knowledge graphs (entities, relationships, and ontologies) and semantic maps built from AI embeddings, where nearby points mean similar meaning and clusters reveal themes in your data, to financial transactions and cybersecurity logs.

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If you’re planning to use Cosmograph in your work, follow the Citing and licensing section.


💻 Web application

Explore the power of Cosmograph web application to analyze massive graph datasets and machine learning embeddings. Graph processing happens in your browser, and you can save, publish, or share projects when you choose.

The web application also includes:

  • AI Assistant to ask questions about loaded graph data, get summaries and trends, create supporting charts, and select matching points.
  • Discussions for point- and coordinate-anchored feedback, replies, @ mentions, and real-time review with project collaborators.
  • Teams for shared workspaces, owner/admin/member roles, invitations, and controlled project access.

See Plans for Free, Pro, and Team availability, including commercial-use terms and current feature access.


Web application guide

📚 React & TypeScript libraries

The fastest web-based library for large network graph visualization built on top of WebGL. You can use it to add blazingly fast network graph and embeddings visualizations to your own web application, and amplify them with ready-to-use interactive components.


Library guide

🐍 Python Widget

Bring the power of Cosmograph directly to your Python notebooks with our interactive widget. Perfect for data scientists and researchers who want to visualize network graphs and embeddings right in their Jupyter environment. The widget provides seamless integration with popular Python data science libraries and maintains the same high-performance GPU-accelerated rendering.


Python widget guide
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Graph visualizations are fascinating, especially when you’re dealing with large graphs. We hope you’ll find Cosmograph useful and that it will help you with your projects. We can’t wait to see what you build with it! If you like Cosmograph, please share it with your friends and colleagues, and give us your feedback!

🎻 Looking for Classic Cosmograph? It lives at classic.cosmograph.app now.